Predictive Insights Through Analytics
 BATTERY 360 Make data-driven decisions, optimize operations, and ensure the safety and longevity of deployed batteries.

Unlocking value through oorja Battery 360™

oorja Battery 360™ is a battery intelligence dashboard that provides actionable prognostic insights from deployed battery systems—across Electric Vehicle fleets and Energy Storage Systems.

These prognostic insights help operators anticipate failures, optimise operations, extend battery life, and reduce downtime

Prognostic Alerts Across Four Categories

Maintenance Alerts

Predict issues like future cell imbalance and sensor faults—before they impact performance.

Usage Alerts

Understand how driver usage and charging patterns affect battery health.

Safety Alerts

Predict cell overheating and receive precautionary thermal runaway alerts beforehand.

Remaining Useful Life Alerts

oorja Battery 360™ goes beyond degradation trends—it tells you how much usable life is left with an accuracy of upto 93%.

Addressing Critical Challenges

Accurate SOH

Batteries degrade non-linearly based on usage. Our state-of-the-art physics-based algorithms eliminate unpredictability, providing precise SoH assessments.

Improve Safety

Mitigate risks of thermal runaway and fires. - Gain early maintenance alerts to save costs and ensure operational safety.

Performance Optimization

Maximize battery efficiency with insights on range and usage. - Tailor operational strategies to optimize system performance

Predict Remaining Useful Life

Drive circular economy initiatives with accurate RUL predictions. - Plan replacements and upgrades efficiently with confidence.

Reduce Operational Downtime

Get insights to optimize charging strategies and operational schedules. - Minimize disruptions to maintain consistent operations.

Physics-Based Insights + Federated ML

Our cutting-edge approach combines physics and machine learning to solve real-world battery challenges:

Physics-Based Models
Build robust foundational models based on physical principles.
Federated Machine Learning

Refine predictions with real-world experimental data while preserving data privacy.

Let's Solve Your Battery Problems

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